Selective Deduplication

1. A method comprising: determining, by a processor of a computing device, a first deduplication priority for a first data object based upon a first projected likelihood that deduplication of the first data object will provide a storage space benefit to reduce storage consumption of a storage device, wherein the first projected likelihood is derived from aggregated statistical information indicating whether the first data object has characteristics that previously provided deduplication benefits; and performing inline deduplication for the first data object based upon the first deduplication priority exceeding a deduplication probability threshold corresponding to a likelihood of achieving the storage space benefit from inline deduplication, wherein the deduplication probability threshold is determined based upon predetermined performance metrics.

2. The method of claim 1 , comprising: determining a second deduplication priority for a second data object based upon a second projected likelihood that deduplication of the second data object will provide the storage space benefit.

3. The method of claim 1 , comprising: performing inline deduplication for the second data object based upon the second deduplication priority exceeding the deduplication probability threshold.

4. The method of claim 3 , comprising: performing post-processing deduplication for the second data object based upon the second deduplication priority being less than the deduplication probability threshold.

5. The method of claim 1 , comprising: performing post-processing deduplication for the first data object based upon the first deduplication priority being less than the deduplication probability threshold.

6. The method of claim 1 , wherein the performing inline deduplication comprises: performing the inline deduplication upon the first data object stored within a temporary storage location to create a deduplicated first data object that is subsequently stored into persistent storage.

7. The method of claim 4 , wherein the performing post-processing deduplication comprises: performing the post-processing deduplication upon the second data object while stored within persistent storage.

8. The method of claim 7 , wherein the performing post-processing deduplication comprises: performing the post-processing deduplication based upon a determination that a current system load demand is below a threshold.

9. The method of claim 4 , wherein the performing post-processing deduplication comprises: performing the post-processing deduplication as a background operation.

10. The method of claim 1 , wherein the determining a first deduplication priority comprises: determining the first deduplication priority before the first data object is stored within persistent storage.

11. The method of claim 1 , wherein the determining a first deduplication priority comprises: determining the first deduplication priority based upon a size characteristic of the first data object.

12. The method of claim 1 , wherein the determining a first deduplication priority comprises: determining the first deduplication priority based upon a data object type of the first data object.

13. The method of claim 1 , wherein the determining a first deduplication priority comprises: determining the first deduplication priority based upon a last modified timestamp of the first data object.

14. The method of claim 1 , wherein the determining a first deduplication priority comprises: determining the first deduplication priority based upon an update frequency of the first data object.

15. The method of claim 1 , wherein the determining a first deduplication priority comprises: determining the first deduplication priority based upon statistic information derived from a previous deduplication operation.

16. The method of claim 1 , comprising: determining the deduplication probability threshold based upon at least one a read throughput, a write throughput, a read response time, a write response time, network utilization, and a performance characteristic.

17. A computing device comprising: a memory having stored thereon instructions for performing a method; and a processor coupled to the memory, the processor configured to execute the instructions to cause the processor to: determine a first deduplication priority for a first data object based upon a first projected likelihood that deduplication of the first data object will provide a storage space benefit to reduce storage consumption of a storage device, wherein the first projected likelihood is derived from aggregated statistical information indicating whether the first data object has characteristics that previously provided deduplication benefits; and perform inline deduplication for the first data object based upon the first deduplication priority exceeding a deduplication probability threshold corresponding to a likelihood of achieving the storage space benefit from inline deduplication, wherein the deduplication probability threshold is determined based upon predetermined performance metrics.

18. The computing device of claim 17 , wherein the instructions cause the processor to: determine the deduplication probability threshold based upon at least one a read throughput, a write throughput, a read response time, a write response time, network utilization, and a performance characteristic.

19. The computing device of claim 17 , wherein the instructions cause the processor to: determine the first deduplication priority based upon an update frequency of the first data object.

20. A non-transitory machine-readable storage media having stored thereon instructions, for performing a method, which causes a computing device to: determine a first deduplication priority for a first data object based upon a first projected likelihood that deduplication of the first data object will provide a storage space benefit to reduce storage consumption of a storage device, wherein the first projected likelihood is derived from aggregated statistical information indicating whether the first data object has characteristics that previously provided deduplication benefits; and perform inline deduplication for the first data object based upon the first deduplication priority exceeding a deduplication probability threshold corresponding to a likelihood of achieving the storage space benefit from inline deduplication, wherein the deduplication probability threshold is determined based upon predetermined performance metrics.